cML_estimate_random: Estimate with Regular Likelihood Using Multiple Random Start...

In MendelianRandomization: Mendelian Randomization Package

Estimate with Regular Likelihood Using Multiple Random Start Points

Description

Internal function of mr_cML. Get estimated theta, se of estimated theta and negative log-likelihood, using multiple random starting points.

Usage

cML_estimate_random(
  b_exp,
  b_out,
  se_exp,
  se_out,
  K,
  random_start = 0,
  maxit = 100
)

Arguments

b_exp	Vector of estimated effects for exposure.
b_out	Vector or estimated effects for outcome.
se_exp	Vector of standard errors for exposure.
se_out	Vector of standard errors for outcome.
K	Constraint parameter, number of invalid IVs.
random_start	Number of random starting points, default is 0.
maxit	Maximum number of iteration.

Value

A list contains: theta is the estimate causal effect, se is standard error of estimated theta, l is negative log-likelihood, r_est is estimated r vector.

Examples

cML_estimate_random(b_exp = ldlc,b_out = chdlodds,se_exp = ldlcse,
se_out = chdloddsse, K = 5)

MendelianRandomization documentation built on Aug. 9, 2023, 1:05 a.m.